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The Severity Sort of China's Drug Accident Types

机译:中国毒品事故类型的严重程度

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摘要

The high incidence of drug accidents has caused great attention in society. This study extracts the main aspects of drug accident types, and builds a generalized empirical fuzzy decision method based on trapezoidal fuzzy number (GEFDMTFN) to analyze the severity sort of China's drug accident types (SSCDAT). Results indicate that the weights of different kinds of respondents in the same area affect the SSCDAT, and the regional differences play a major role. Then the final result shows that the SSCDAT should be traceability system, transaction mode, sampling system, pharmacovigilance, licensing system and emergence management. This study not only reflects issues of China's drug safety management, but also provides authority with information which is helpful to enhance drug safety management.
机译:毒品事故的高发病率导致了社会的重视。本研究提取了药物事故类型的主要方面,并基于梯形模糊数(GEFDMTFN)的广义经验模糊决策方法分析了中国毒品事故类型(SSCDAT)的严重程度。结果表明,同一地区不同类型受访者的重量影响了SSCDAT,区域差异发挥了重要作用。然后,最终结果表明,SSCDAT应该是可追溯性系统,交易模式,采样系统,药物检测,许可证系统和出局管理。本研究不仅反映了中国药物安全管理问题,还提供了有助于提高药物安全管理的信息的权威。

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